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MJAR: A novel joint generalization-based diagnosis method for industrial robots with compound faults
Robotics and Computer-Integrated ManufacturingYiming He +3 more
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A compound fault diagnosis model for gearboxes using correlation information between single faults
Measurement Science and Technology, 2023Abstract Gearboxes are key components of rotating machinery. Performing intelligent fault diagnosis of gearboxes with condition-based monitoring information helps to make reliable decisions on equipment operation and maintenance. Besides single faults, compound faults also are common failure forms of gearboxes.
Ming Zeng +3 more
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A COMPOUNDING ALGORITHM FOR 1-FAULT TOLERANT BROADCAST NETWORKS [PDF]
Asia-Pacific Journal of Operational Research, 2007 This theoretical paper presents a new construction algorithm for sparse 1-fault tolerant minimal broadcast networks (1-FTMBNs). To construct a large 1-FTMBN with the algorithm, identical nodes in copies of a broadcast network that is not fault tolerant are connected according to the edge structures of two known 1-FTMBNs with a special property.
BRIAN Q. RIEKSTS, JOSÉ A. VENTURA
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Zero-shot learning compound fault diagnosis of bearings
2021 International Joint Conference on Neural Networks (IJCNN), 2021The compound fault signal of bearings is coupled and complex, thereby compound fault diagnosis is a difficult problem in bearing fault diagnosis. The existing deep learning models can extract fault features when there are a large number of labeled compound fault samples.
Juan Xu +4 more
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Compound faults diagnosis of rotating machinery via enhanced two-layer sliding correlated kurtosis
Journal of Vibration and Control, 2023Compound faults identification from vibration signals is still a challenge for rotating machinery because the multiple periodic impulsive fault signals may oscillate with the same frequency.
Chunlin Zhang +3 more
semanticscholar +1 more source
Journal of Vibration and Control, 2023
Due to the mutual coupling between sub-faults in the case of compound faults in rolling bearings, coupled with external noise, energy attenuation during information transmission, etc., the acquired fault information is usually very weak and complex. This
Guihong Guo +3 more
semanticscholar +1 more source
Due to the mutual coupling between sub-faults in the case of compound faults in rolling bearings, coupled with external noise, energy attenuation during information transmission, etc., the acquired fault information is usually very weak and complex. This
Guihong Guo +3 more
semanticscholar +1 more source
Compound Rotorcraft Yaw Control Fault Detection
Proceedings of the Vertical Flight Society 76th Annual Forum, 2020Emerging vertical flight concepts being proffered for solutions to the Future Vertical Lift (FVL) mission set such as compound high speed rotorcraft can be designed with multiple, coupled control effectors thus creating redundant systems in one or two more axes to generate control forces and moments which allow for a range of trim states.
Jeffrey Lewis +2 more
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Zero-shot learning for compound fault diagnosis of bearings
Expert Systems with Applications, 2022Abstract Due to the concurrency and coupling of various types of faults, and the number of possible fault modes grows exponentially, thereby compound fault diagnosis is a difficult problem in bearing fault diagnosis. The existing deep learning models can extract fault features when there are a large number of labeled compound fault samples.
Juan Xu +5 more
openaire +1 more source